Multimodal EEG-fNIRS complexity analysis can reveal the neurovascular coupling change with aging

Lingxuan Lv, Ziyue Liu, Wenxin Li, Feifei Zhai, Rui Chen, Yicheng Zhu

Open source

DOI: 10.3389/fnagi.2026.1912923
Published: 2026-10-26
Container: Frontiers in Aging Neuroscience
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fnagi.2026.1912923,
  title = {Multimodal EEG-fNIRS complexity analysis can reveal the neurovascular coupling change with aging},
  author = {Lingxuan Lv and Ziyue Liu and Wenxin Li and Feifei Zhai and Rui Chen and Yicheng Zhu},
  year = {2026},
  journal = {Frontiers in Aging Neuroscience},
  doi = {10.3389/fnagi.2026.1912923},
  url = {https://doi.org/10.3389/fnagi.2026.1912923}
}

RIS

TY  - JOUR
TI  - Multimodal EEG-fNIRS complexity analysis can reveal the neurovascular coupling change with aging
AU  - Lingxuan Lv
AU  - Ziyue Liu
AU  - Wenxin Li
AU  - Feifei Zhai
AU  - Rui Chen
AU  - Yicheng Zhu
PY  - 2026
JO  - Frontiers in Aging Neuroscience
DO  - 10.3389/fnagi.2026.1912923
UR  - https://doi.org/10.3389/fnagi.2026.1912923
ER  -

APA

Lv, L., Liu, Z., Li, W., Zhai, F., Chen, R., & Zhu, Y. (2026). Multimodal EEG-fNIRS complexity analysis can reveal the neurovascular coupling change with aging. Frontiers in Aging Neuroscience. https://doi.org/10.3389/fnagi.2026.1912923

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crossref · retrieved 2026-11-10T20:39:30.657Z